Propagation Models and Fitting Them for the Boolean Random Sets
محورهای موضوعی : Design of Experimentmojtaba Khazaei 1 , Khalil Shafie 2
1 - Assistant Professor, Department of Statistics, Shahid Beheshti University G.C., Tehran, IRAN.
2 - Associate Professor, University of Northern Colorado, Colorado, USA.
کلید واژه: random closed set, hitting functional, Poisson point process, Boolean model, lower positive tangent points,
چکیده مقاله :
In order to study the relationship between random Boolean sets and some explanatory variables, this paper introduces a Propagation model. This model can be applied when corresponding Poisson process of the Boolean model is related to explanatory variables and the random grains are not affected by these variables. An approximation for the likelihood is used to find pseudo-maximum likelihood estimates of propagation model parameters when the grains are nonrandom circle with unknown radii.
